An experimental wrist-worn device developed by RCE(Carlsbad.CA,USA;www.rce.ai) has been found to predict troponin-Ⅰand blocked arteries with 90% accuracy in five minutes,potentially preventing more heart muscle damage.

The wrist-worn sensor operates using infrared light to detect troponin-Ⅰin the bloodstream via the skin.This device then wirelessly transmits information using Bluetooth to a cloud-based system where a machine learning algorithm relates the information to training data to predict the wearer’s troponin level.

Researchers are confident that the new wearable sensor will aid in augmenting the diagnostic process by providing an ealy assessment of whether the patient is experiencing a heart attack,even before lab results become available.